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VIP
2003
15 years 7 days ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
15 years 3 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICIP
1999
IEEE
15 years 3 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...
JMLR
2010
127views more  JMLR 2010»
14 years 5 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor